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"Situation polygon" as an intelligent environment for strategic decision-making support in development of Russian energy sector

Massel L.V., Kuzmin V.R. "Situation polygon" as an intelligent environment for strategic decision-making support in development of Russian energy sector // Procedia Computer Science. Vol.156. 2019. P.308-318. DOI: 10.1016/j.procs.2019.08.207 For justification and support of strategic decisions, it is feasible to use intelligent information technologies. For development of intelligent environments for strategic decision-making support on development of Russian energy sector, we propose...

Теги: decision-making , intelligent decision-making support system , semantic modelling , situation polygon , geometry , intelligent agents , multi agent systems , semantics , energy sector , intelligent decision making , intelligent environment , strategic decision makin
Раздел: ИСЭМ СО РАН
Intelligent control and protection of power systems in the Russian cities

Voropai N., Kurbatsky V., Tomin N., Efimov D., Kolosok I. Intelligent control and protection of power systems in the Russian cities // SMARTGREENS 2019 - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems. 2019. P.19-29. ISBN (print): 9789897583735. A distinctive feature of the energy system development in Russian megalopolises is the need for a comprehensive approach to the problem of making the network intelligent. The paper presents the following contributions:...

Теги: artificial intelligence , control , power grid , protection , russia , smart cities , control engineering , electric power system protection , electric power transmission networks , green computing , intelligent agents , learning systems , multi agent systems , power
Раздел: ИСЭМ СО РАН
Voltage/VAR Control and Optimization: AI approach

Tomin N., Kurbatsky V., Panasetsky D., Sidorov D., Zhukov A. Voltage/VAR Control and Optimization: AI approach // IFAC-PapersOnLine. Vol.51. No.28. 2018. P.103-108. DOI: 10.1016/j.ifacol.2018.11.685 Volt-VAr control systems provide the optimal solution with remote automatic or manual control of the capacitor banks and tap positions on the voltage regulators. However, such control possesses inherent characteristics of complexity, nonlinearity, inaccuracy and high requirement for control speed, parts...

Теги: machine learning , multi-agent system , power system , random forest , security , volt-var control , decision trees , intelligent agents , learning systems , value engineering , voltage regulators , inherent characteristics , optimal solutions , random forests , tradit
Раздел: ИСЭМ СО РАН
Development of software for modelling decentralized intelligent systems for security monitoring and control in power systems

Panasetsky D., Tomin N., Voropai N., Kurbatsky V., Zhukov A., Sidorov D. Development of software for modelling decentralized intelligent systems for security monitoring and control in power systems // Proc. of Int. Conf. IEEE Power Tech, Eindhoven, Netherlands. 2015. 1 p. ISBN (print): 9781479976. DOI: 10.1109/PTC.2015.7232553 With rapidly increasing complexity of power grids in Europe, North America and Asia, liberalization of electricity markets and increasing penetration of renewable energy...

Теги: artificial intelligence , electric power system control , electric power system security , intelligent agents , intelligent systems , learning systems , matlab , monitoring , multi agent systems , power contro
Раздел: ИСЭМ СО РАН


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